Improving Rocchio Algorithm for Updating User Profile in Recommender Systems

Wang, Chong; Shen, Yao; Yang, Huan; Guo, Minyi

doi:10.1007/978-3-642-41230-1_14

Cited by 2 publications

(2 citation statements)

References 7 publications

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“…For this reason, upon subscribing, the system requires the user to answer a few questions to understand her preferences and initialize the profile vector. After that, the user profile vector is implicitly updated using the Rocchio's Algorithm [22], which classifies interesting and non-interesting items for a user, and uses these sets for updating the user profile incrementally.…”

Section: Path Composition and Recommendationmentioning

confidence: 99%

On the composition and recommendation of multi-feature paths: a comprehensive approach

et al. 2019

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Trackers have become popular devices these days. They are extensively used to record sports activities (e.g., hiking, skiing), mainly in terms of GPS trajectories, which can be shared on social networking platforms with other users looking for leisure tips. Notably, as the number of available trajectories drastically increased over time, in many cases, it has become challenging, if not impossible, the extensive evaluation of all possible alternatives and the manual selection of the most suitable one. Paths are characterized by multiple features (e.g., dirt, asphalt), and a good representation is needed to satisfy user needs. Moreover, paths can be composed to generate new routes. This calls for a recommender system capable to handle both the multi-feature path representation and the implicit definition of alternatives by composition. This paper suggests a novel approach that features a richer trajectory represen-This is a post-peer-review, pre-copyedit version of an article published in GeoInformatica.

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Section: Path Composition and Recommendationmentioning

confidence: 99%

On the composition and recommendation of multi-feature paths: a comprehensive approach

et al. 2019

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show abstract

“…A partir desse trabalho, Rocchio (1971) estudou a expansão de consultas a partir do feedback de usuários e incluiu na fórmula de expansão os pesos dos termos do modelo VSM , desenvolvendo assim o algoritmo de Rocchio. Este algoritmo ainda é amplamente utilizado na maioria dos mecanismos de recuperação de informação (JOACHIMS, 1997;WANG et al, 2013) mesmo que diversas alterações sobre o algoritmo básico foram estudadas.…”

Section: Estado Da Arteunclassified

Feedback de relevância orientado a termos: um novo método para ordenação de resultados de motores de busca.

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Improving Rocchio Algorithm for Updating User Profile in Recommender Systems

Cited by 2 publications

References 7 publications

On the composition and recommendation of multi-feature paths: a comprehensive approach

On the composition and recommendation of multi-feature paths: a comprehensive approach

Feedback de relevância orientado a termos: um novo método para ordenação de resultados de motores de busca.

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